electric-debugging

electric-debugging is a System & environment troubleshooting skill for AI agents, published by electric-sql in the electric repository on GitHub. Skillspace rates electric-debugging D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Troubleshoot Electric sync issues. Covers fast-loop detection from CDN/proxy cache key misconfiguration, stale cache diagnosis (StaleCacheError), MissingHeadersError from CORS misconfiguration, 409 shape expired handling, SSE proxy buffering (nginx proxy_buffering off, Caddy flush_interval -1), HTTP/1.1 6-connection limit in local dev (Caddy HTTP/2 proxy), WAL growth from replication slots (max_slot_wal_keep_size), Vercel CDN cache issues, and onError/backoff behavior. Load when shapes are not receiving updates, sync is slow, or errors appear in the console.

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
10,360

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
76 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.